摘要
该文提出了一种基于发射机功率放大器瞬态响应过程的跳频电台个体分选方法。提取跳频电台功放瞬态响应的多层离散小波系数作为指纹特征;用主分量分析法抑制加性白噪声对离散小波系数的影响;并对去噪后的各层小波系数峰谷值的幅度和出现时间分布情况进行蒙特卡罗仿真;实验结果表明该方法提取的跳频信号指纹特征在较低信噪比下有良好的分类特性。
A method is proposed for individual HF transmitter identification which is based on the transient response of power amplifier.The DWT of transient response caused by power amplifier is extracted as transmitter fingerprints and principal component analysis is used to eliminate the affect of white noise to DWT.The distribution of DWT peak/valley and their positions is give out by Monte Carlo simulation.This method is proved to perform well on character extraction for individual HF signal identification at a r...
出处
《杭州电子科技大学学报（自然科学版）》
2009年第1期29-32,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
跳频
瞬态响应
离散小波
主分量分析
电台指纹
HF
transient response
DWT
principal component analysis
transmitter fingerprints
